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Designing mobile personal assistant agent based on users' experience and their position information  

Kang, Shin-Bong (가톨릭대학교 대학원 컴퓨터공학)
Noh, Sang-Uk (가톨릭대학교 컴퓨터정보공학부)
Publication Information
Journal of Internet Computing and Services / v.12, no.1, 2011 , pp. 99-110 More about this Journal
Abstract
Mobile environments rapidly changing and digital convergence widely employed, mobile devices including smart phones have been playing a critical role that changes users' lifestyle in the areas of entertainments, businesses and information services. The various services using mobile devices are developing to meet the personal needs of users in the mobile environments. Especially, an LBS (Location-Based Service) is combined with other services and contents such as augmented reality, mobile SNS (Social Network Service), games, and searching, which can provide convenient and useful services to mobile users. In this paper, we design and implement the prototype of mobile personal assistant (PA) agents. Our personal assistant agent helps users do some tasks by hiding the complexity of difficult tasks, performing tasks on behalf of the users, and reflecting the preferences of users. To identify user's preferences and provide personalized services, clustering and classification algorithms of data mining are applied. The clusters of the log data using clustering algorithms are made by measuring the dissimilarity between two objects based on usage patterns. The classification algorithms produce user profiles within each cluster, which make it possible for PA agents to provide users with personalized services and contents. In the experiment, we measured the classification accuracy of user model clustered using clustering algorithms. It turned out that the classification accuracy using our method was increased by 17.42%, compared with that using other clustering algorithms.
Keywords
personal assistant agent; machine learning algorithms; mobile social network service;
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Times Cited By KSCI : 1  (Citation Analysis)
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